Hierarchical multimodel ensemble probabilistic forecasts for precipitation over East Asia
Abstract Bayesian model averaging (BMA) and ensemble model output statistics (EMOS), as two state‐of‐the‐art approaches, were applied to improve the prediction skills of 24‐h accumulated precipitation over East Asia with lead days of 1–7 days. The multimodel ensemble precipitation probabilistic fore...
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| Autores principales: | , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Wiley
2025-03-01
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| Colección: | Meteorological Applications |
| Materias: | |
| Acceso en línea: | https://doi.org/10.1002/met.70035 |
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